Nature MethodsBioinformaticsPeer-reviewed journal article
Accessible, curated metagenomic data through ExperimentHub
Edoardo PasolliiD, Lucas SchifferiD, Paolo ManghiiD, Audrey RensoniD, Valerie Obenchain, Duy Tin TruongiD, Francesco BeghiniiD, Faizan Malik, Marcel RamosiD, Jennifer B. DowdiD, Curtis HuttenhoweriD, Martin T. MorganiD, Nicola SegataiD, Levi WaldroniD
Abstract
We present curatedMetagenomicData, a Bioconductor and command-line interface to thousands of metagenomic profiles from the Human Microbiome Project and other publicly available datasets, and ExperimentHub, a platform for convenient cloud-based distribution of data to the R desktop. The resource provides standardized per-participant metadata linked to bacterial, fungal, archaeal, and viral taxonomic abundances, as well as quantitative metabolic functional profiles. The datasets can be immediately analyzed in R or other software with a minimum of bioinformatic expertise and no preprocessing of data. We demonstrate identification of taxonomic/functional correlations, an investigation of gut \"enterotypes\", and a comparison of the accuracy of disease classification from different data types. These documented analyses can be reproduced efficiently on a laptop, without the barriers of working with large-scale, raw sequencing data. The building and expansion of curatedMetagenomicData is based entirely on open source software and pipelines, to facilitate the addition of new microbiome datasets and methods.
- organism: human
- assay: metagenomics
- research focus: database / resource
- research focus: benchmarking
- research focus: differential expression
- research focus: gene regulatory network inference
- approach: statistical model
- approach: benchmark study
- Citations
- 536
- FWCI
- 11.28
- Field percentile
- top 1%
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